A machine learning-enabled planar interdigitated thermogalvanic hydrogel for synergistic thermal and strain sensing

Journal of Materials Chemistry A 2026

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Authors: Qi Hu, Hao Wu, Chunxuan Yu, Hao Xiao, Chen Shen, Zhaoquan Zhao, Yuan Yao, Xuelin Yong Xuelin Yong, Xing Liang, Hongwei Wu, Xiaoze Du, CHENG CHI
DOI: 10.1039/d5ta08892e
Cited by: 2
References: 35

Abstract

This study demonstrates a strain–thermal coupling mechanism in an interdigitated thermogalvanic hydrogel, enabling self-powered thermal and strain sensing with high-accuracy machine learning recognition.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Hydrogels: synthesis properties applications Gas Sensing Nanomaterials and Sensors

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
19
Pages
11262–11273
Publication date
1 January 2026
Language
EN